Besides this analysis, the dataset has been successfully applied to train Graph Neural Networks (GNNs) that model adherence to social-navigation conventions for robots.
Some results are presented in Figure REF .
The figure shows several scenarios (left) and the response of the network for the different locations of the robot in each scenario (right).
The disturbance of the robot in each position of the scene is represented using a heat colour scale, where red indicates unacceptable position and blue expresses perfect position.
More details about the application of the dataset to GNNs can be found in [1]}.
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